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A Hybrid Genetic Simulated Annealing Algorithm in the Retardance Optimization of Citrate Coated Ferrofluid

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ISMSI '20: Proceedings of the 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence

Pages 76 - 80

https://doi.org/10.1145/3396474.3396477

Published: 30 May 2020 Publication History

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Abstract

In this paper, a hybrid of genetic algorithm (GA) and simulated annealing (SA) algorithm (HGSA) is developed to optimize the retardance in citrate (citric acid, CA) coated ferrofluids (FFs). The HGSA not only can overcome the deficiency of GA but also increase the possibility of finding the global solution by using SA. It enhances the ability of local searching by using SA. Initially, two factors that affect the performance of SA as initial temperature and cooling rate are decided. The maximum retardance is found as 42.4058° with a parametric combination of [5.5, 0.12, 40, 90], corresponding to pH of suspension, molar ratio of CA to Fe3O4, CA volume, and coating temperature. Moreover, when executing the HGSA algorithm, two parametric combinations of [5.499, 0.12, 39.369, 90] and [5.496, 0.106, 39.832, 89.976] associated with maximum and minimum retardance obtained by GA are adopted as the start points in the simulation of SA algorithm. Hence, a better solution of 42.4313° with [5.5, 0.12, 38.733, 90] is sought successfully. The hybrid of GA and SA can improve the solving efficiency.

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Cited By

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Lin JSheu J(2024)Using PSO and SA for optimizing the retardance in dextran-citrate coated ferrofluidsNeural Computing and Applications10.1007/s00521-024-10041-4Online publication date: 14-Sep-2024
https://doi.org/10.1007/s00521-024-10041-4
Lin JSheu J(2022)Application of Hybrid PSO and SQP Algorithm in Optimization of the Retardance of Citrate Coated FerrofluidsProceedings of the 2022 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence10.1145/3533050.3533060(62-66)Online publication date: 9-Apr-2022
https://dl.acm.org/doi/10.1145/3533050.3533060
Lin J(2022)Modeling and Optimization of Two-Chamber Muffler by Genetic Algorithm2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI)10.1109/ISCMI56532.2022.10068448(135-139)Online publication date: 26-Nov-2022
https://doi.org/10.1109/ISCMI56532.2022.10068448

Index Terms

A Hybrid Genetic Simulated Annealing Algorithm in the Retardance Optimization of Citrate Coated Ferrofluid
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis

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ISMSI '20: Proceedings of the 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence

March 2020

142 pages

ISBN:9781450377614

DOI:10.1145/3396474

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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University of Delhi

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New York, NY, United States

Publication History

Published: 30 May 2020

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ISMSI '20

ISMSI '20: 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence

March 21 - 22, 2020

Thimphu, Bhutan

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Cited By

View all

Lin JSheu J(2024)Using PSO and SA for optimizing the retardance in dextran-citrate coated ferrofluidsNeural Computing and Applications10.1007/s00521-024-10041-4Online publication date: 14-Sep-2024
https://doi.org/10.1007/s00521-024-10041-4
Lin JSheu J(2022)Application of Hybrid PSO and SQP Algorithm in Optimization of the Retardance of Citrate Coated FerrofluidsProceedings of the 2022 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence10.1145/3533050.3533060(62-66)Online publication date: 9-Apr-2022
https://dl.acm.org/doi/10.1145/3533050.3533060
Lin J(2022)Modeling and Optimization of Two-Chamber Muffler by Genetic Algorithm2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI)10.1109/ISCMI56532.2022.10068448(135-139)Online publication date: 26-Nov-2022
https://doi.org/10.1109/ISCMI56532.2022.10068448
Lin J(2021)Optimization of the Retardance in Citrate Coated Ferrofluids Using Integrated Genetic-Sequential Quadratic Programming Technique2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI)10.1109/ISCMI53840.2021.9654799(86-90)Online publication date: 26-Nov-2021
https://doi.org/10.1109/ISCMI53840.2021.9654799

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Application of Hybrid PSO and SQP Algorithm in Optimization of the Retardance of Citrate Coated Ferrofluids

Optimization of the Retardance in Dextran-citrate Coated Ferrofluids Using PSO and SA

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